Abstract
The software package τ-ARGUS offers a very efficient algorithm for secondary cell suppression known as either HiTaS or the Modular approach. The method is well suited for the protection of up to 3-dimensional hierarchical tables. In practice, statistical agencies release multiple tabulations based on the same dataset. Usually these tables are linked through certain linear constraints. In such a case cell suppressions must obviously be coordinated between tables. In this paper we investigate into the possibilities for an extension of the modular approach to deal with linked tables.
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References
Cox, L.: Disclosure Risk for Tabular Economic Data. In: Doyle, L., Theeuwes, Z. (eds.) Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies. North-Holland, Amsterdam (2001)
De Wolf, P.P.: HiTaS: A Heustic Approach to Cell Suppression in Hierarchical Tables. In: Domingo-Ferrer, J. (ed.) Inference Control in Statistical Databases. LNCS, vol. 2316. Springer, Heidelberg (2002)
De Wolf, P.P.: Cell suppression in a special class of linked tables. In: Joint ECE/Eurostat Worksession on Statistical Confidentiality in Manchester (December 2007), http://epp.eurostat.ec.europa.eu/portal/page?_pageid=3154,70730193,3154_70730647&_dad=portal&_schema=PORTAL
Fischetti, M., Salazar Gonzales, J.J.: Models and Algorithms for Optimizing Cell Suppression in Tabular Data with Linear Constraints. Journal of the American Statistical Association 95, 916 (2000)
Fischetti, M., Salazar Gonzales, J.J.: A Unified Mathematical Programming Framework for different Statistical Disclosure Limitation Mehtods. Operations Research 53(5), 819–829 (2005)
Hundepool, A., van de Wetering, A., Ramaswamy, R., de Wolf, P.P., Giessing, S., Fischetti, M., Salazar, J.J., Castro, J., Lowthian, P.: τ-ARGUS users’s manual, version 3.1 (2006)
Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, S., Lenz, R., Longhurst, J., Nordholt, E.S., Seri, G., De Wolf, P.-P.: CENEX handbook on Statistical Disclosure Control, CENEX-SDC project (2006), http://neon.vb.cbs.nl/cenex/CENEX-SDC_Handbook.pdf
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de Wolf, PP., Giessing, S. (2008). How to Make the τ-ARGUS Modular Method Applicable to Linked Tables. In: Domingo-Ferrer, J., Saygın, Y. (eds) Privacy in Statistical Databases. PSD 2008. Lecture Notes in Computer Science, vol 5262. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87471-3_4
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DOI: https://doi.org/10.1007/978-3-540-87471-3_4
Publisher Name: Springer, Berlin, Heidelberg
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